【问题标题】:Custom job script submission to PBS via Dask?通过 Dask 向 PBS 提交自定义作业脚本?
【发布时间】:2020-05-16 12:40:54
【问题描述】:

我有一个 PBS 作业脚本,其中包含将结果写入 out 文件的可执行文件。

### some lines

PBS_O_EXEDIR="path/to/software"
EXECUTABLE="executablefile"
OUTFILE="out"

### Copy application directory on compute node

[ -d $PBS_O_EXEDIR ] || mkdir -p $PBS_O_EXEDIR
[ -w $PBS_O_EXEDIR ] && \
rsync -Cavz --rsh=$SSH $HOST:$PBS_O_EXEDIR `dirname $PBS_O_EXEDIR`

[ -d $PBS_O_WORKDIR ] || mkdir -p $PBS_O_WORKDIR
rsync -Cavz --rsh=$SSH $HOST:$PBS_O_WORKDIR `dirname $PBS_O_WORKDIR`

# Change into the working directory
cd $PBS_O_WORKDIR

# Save the jobid in the outfile
echo "PBS-JOB-ID was $PBS_JOBID" > $OUTFILE

# Run the executable
$PBS_O_EXEDIR/$EXECUTABLE >> $OUTFILE

在我的项目中,我必须使用 Dask 来提交此作业并对其进行监控。所以我就这样配置了jobqueue.yaml文件。

jobqueue:
     pbs:
         name: htc_calc

         # Dask worker options
         cores: 4                 # Total number of cores per job
         memory: 50GB                # Total amount of memory per job

         # PBS resource manager options
         shebang: "#!/usr/bin/env bash"
         walltime: '00:30:00'
         exe_dir: "/home/r/rb11/softwares/FPLO/bin"
         excutable: "fplo18.00-57-x86_64"
         outfile: "out"

         job-extra: "exe_dir/executable >> outfile"

但是,我在通过 Dask 提交作业时遇到此错误。

qsub: directive error: e


tornado.application - ERROR - Exception in callback functools.partial(<function wrap.<locals>.null_wrapper at 0x7f3d8c4a56a8>, <Task finished coro=<SpecCluster._correct_state_internal() done, defined at /home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py:284> exception=RuntimeError('Command exited with non-zero exit code.\nExit code: 1\nCommand:\nqsub /tmp/tmpwyvkfcmi.sh\nstdout:\n\nstderr:\nqsub: directive error: e \n\n',)>)
Traceback (most recent call last):
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/ioloop.py", line 758, in _run_callback
    ret = callback()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/stack_context.py", line 300, in null_wrapper
    return fn(*args, **kwargs)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/tornado/ioloop.py", line 779, in _discard_future_result
    future.result()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/asyncio/futures.py", line 294, in result
    raise self._exception
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/asyncio/tasks.py", line 240, in _step
    result = coro.send(None)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py", line 317, in _correct_state_internal
    await w  # for tornado gen.coroutine support
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/distributed/deploy/spec.py", line 41, in _
    await self.start()
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 285, in start
    out = await self._submit_job(fn)
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 268, in _submit_job
    return self._call(shlex.split(self.submit_command) + [script_filename])
  File "/home/r/rb11/anaconda3/envs/htc/lib/python3.5/site-packages/dask_jobqueue/core.py", line 368, in _call
    "stderr:\n{}\n".format(proc.returncode, cmd_str, out, err)
RuntimeError: Command exited with non-zero exit code.
Exit code: 1
Command:
qsub /tmp/tmpwyvkfcmi.sh
stdout:

stderr:
qsub: directive error: e

如何在 Dask 中指定自定义 bash 脚本?

【问题讨论】:

    标签: cluster-computing dask dask-distributed pbs dask-jobqueue


    【解决方案1】:

    Dask 用于分发 Python 应用程序。在 Dask Jobqueue 的情况下,它通过将调度程序和工作程序提交到批处理系统来工作,它们连接在一起形成自己的集群。然后,您可以将 Python 工作提交给 Dask 调度程序。

    从您的示例看来,您正在尝试使用集群设置配置来运行您自己的 bash 应用程序而不是 Dask。

    为了使用 Dask 执行此操作,您应该将作业队列配置恢复为默认值,而是编写一个调用您的 bash 脚本的 Python 函数。

    from dask_jobqueue import PBSCluster
    cluster = PBSCluster()
    cluster.scale(jobs=10)    # Deploy ten single-node jobs
    
    from dask.distributed import Client
    client = Client(cluster)  # Connect this local process to remote workers
    
    client.submit(os.system, "/path/to/your/script")  # Run script on all workers
    

    但是,Dask 似乎不适合您正在尝试做的事情。你可能会更好地把你的工作正常提交给 PBS。

    【讨论】:

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